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DBMS > Amazon Neptune vs. Faircom DB vs. Fauna vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften Amazon Neptune vs. Faircom DB vs. Fauna vs. Microsoft Azure Data Explorer

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon Neptune  Xaus Vergleich ausschliessenFaircom DB infoformerly c-treeACE  Xaus Vergleich ausschliessenFauna infopreviously named FaunaDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungFast, reliable graph database built for the cloudNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Fully managed big data interactive analytics platform
Primäres DatenbankmodellGraph DBMS
RDF Store
Key-Value Store
Relational DBMS
Document Store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMS infocolumn oriented
Sekundäre DatenbankmodelleDocument Store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Suchmaschine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte2,29
Rang#113  Overall
#9  Graph DBMS
#5  RDF Stores
Punkte0,29
Rang#304  Overall
#43  Key-Value Stores
#136  Relational DBMS
Punkte1,55
Rang#151  Overall
#26  Document Stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Websiteaws.amazon.com/­neptunewww.faircom.com/­products/­faircom-dbfauna.comazure.microsoft.com/­services/­data-explorer
Technische Dokumentationaws.amazon.com/­neptune/­developer-resourcesdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.fauna.comdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerAmazonFairCom CorporationFauna, Inc.Microsoft
Erscheinungsjahr2017197920142019
Aktuelle VersionV12, November 2020cloud service with continuous releases
Lizenz infoCommercial or Open Sourcekommerziellkommerziell infoRestricted, free version availablekommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinjaja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheANSI C, C++Scala
Server BetriebssystemegehostetAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
gehostetgehostet
Datenschemaschemafreischema free, schema optional, schema required, partial schema,schemafreiFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja, ANSI Standard SQL Types, JSON, typed binary structuresneinja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinja
Sekundärindizesneinjajaall fields are automatically indexed
SQL infoSupport of SQLneinyes, ANSI SQL with proprietary extensionsneinKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
RESTful HTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresneinja info.Net, JavaScript, C/C++benutzerdefinierte FunktionenYes, possible languages: KQL, Python, R
Triggersneinjaneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioninghorizontale Partitionierung infoconsistent hashingSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-Source Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infoRelationships in graphsjajanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDtunable from ACID to Eventually ConsistentACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenja infowith encyption-at-restYes, tunable from durable to delayed durability to in-memoryjaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinnein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Fine grained access rights according to SQL-standard with additional protections for filesIdentity management, authentication, and access controlAzure Active Directory Authentication

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Weitere Ressourcen
Amazon NeptuneFaircom DB infoformerly c-treeACEFauna infopreviously named FaunaDBMicrosoft Azure Data Explorer
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bereitgestellt von Google News

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bereitgestellt von Google News

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Utah Natural Heritage Program
17. Oktober 2023, Utah Division of Wildlife Resources

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bereitgestellt von Google News

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